Abstract:
The present disclosure discloses a method of determining precise positioning. A method of determining precise positioning according to an embodiment of the present disclosure includes: determining at least one piece of image positioning information of at least one image object detected from at least one image; determining at least one piece of wireless positioning information of at least one wireless object on the basis of signal strength of a wireless signal; performing mapping for the at least one piece of image positioning information and the at least one piece of wireless positioning information; and determining final positioning information on the basis of the at least one piece of image positioning information, and the at least one piece of wireless positioning information for which mapping is performed.
Abstract:
Provided is a segmentation and tracking system based on self-learning using video patterns in video. The present invention includes a pattern-based labeling processing unit configured to extract a pattern from a learning image and then perform labeling in each pattern unit to generate a self-learning label in the pattern unit, a self-learning-based segmentation/tracking network processing unit configured to receive two adjacent frames extracted from the learning image and estimate pattern classes in the two frames selected from the learning image, a pattern class estimation unit configured to estimate a current labeling frame through a previous labeling frame extracted from the image labeled by the pattern-based labeling processing unit and a weighted sum of the estimated pattern classes of a previous frame of the learning image, and a loss calculation unit configured to calculate a loss between a current frame and the current labeling frame by comparing the current labeling frame with the current labeling frame estimated by the pattern class estimation unit.
Abstract:
An apparatus for processing indoor geospatial information for an indoor location-based service and a method thereof are provided. The apparatus includes a registerer configured to classify and register indoor geospatial information according to conditions that include a structure of a building and features of indoor space, and provide a user terminal with access information regarding specific indoor geospatial information found by the user terminal; and a provider configured to provide indoor geospatial information to the user terminal that has accessed the provider using the access information regarding the indoor geospatial information.
Abstract:
A system for filtering a terminal location by combining WiFi location information and sensor information, the system includes a filter that filters an inaccurate location of a terminal by combining location information calculated from WiFi signals and sensor information, and by using indicators to remove abnormal location information.
Abstract:
Provided are a method for determining a moving direction of a terminal and correcting a position thereof, and a positioning apparatus using the same. Relative direction information is estimated based on N pieces of position information of the terminal, and distortion information is removed from the relative direction information to acquire relative direction information without direction integrity. Further, the relative direction information is transmitted into absolute direction information to acquire a moving path direction of the terminal. Next, the position information of the terminal is corrected based on the moving path direction of the terminal.
Abstract:
A method and apparatus for compensating an estimated location of a wireless network element from information collected by heterogeneous terminals rae provided. The method may include receiving information on a received signal strength indication (RSSI) of a wireless network element and location information of a heterogeneous terminal from the heterogeneous terminal by a wireless network element positioning server, compensating the information on the RSSI received from the heterogeneous terminal into information on an RSSI received from a predetermined reference terminal, using a difference value model of the RSSI of the wireless network element between heterogeneous terminals, the difference model generated in advance, and estimating a location of the wireless network element using the compensated information on the RSSI from the reference terminal and the received location information.
Abstract:
Provided is an atypical environment-based location recognition apparatus. The apparatus includes a sensing information acquisition unit configured to, from sensing data collected by sensor modules, detect object location information and semantic label information of a video image and detect an event in the video image; a walk navigation information provision unit configured to acquire user movement information; a metric map generation module configured to generate a video odometric map using sensing data collected through a sensing information acquisition unit and reflect the semantic label information; and a topology map generation module configured to generate a topology node using sensing data acquired through the sensing information acquisition unit and update the topology node through the collected user movement information.
Abstract:
Provided is a multi-agent based manned-unmanned collaboration system including: a plurality of autonomous driving robots configured to form a mesh network with neighboring autonomous driving robots, acquire visual information for generating situation recognition and spatial map information, and acquire distance information from the neighboring autonomous driving robots to generate location information in real time; a collaborative agent configured to construct location positioning information of a collaboration object, target recognition information, and spatial map information from the visual information, the location information, and the distance information collected from the autonomous driving robots, and provide information for supporting battlefield situational recognition, threat determination, and command decision using the generated spatial map information and the generated location information of the autonomous driving robot; and a plurality of smart helmets configured to display the location positioning information of the collaboration object, the target recognition information, and the spatial map information constructed through the collaborative agent and present the pieces of information to wearers.
Abstract:
Provided are an apparatus, system, and method for providing a stereoscopic indoor route, which can effectively guide a route in consideration of various features and structures of the indoor space unlike an existing navigation performed on only the outdoor space, in order to provide a navigation service performed on the indoor space. For stereoscopic movement, such as going upstairs or downstairs in inter-floor movement, which is characteristic of the indoor space, it is also possible to effectively and efficiently provide route guidance to a user by indicating up and down directions with a special arrow or icon and visualizing a route with icons for facilities, such as a general door, a revolving door, an escalator, and an elevator, which are specialized in the indoor space.
Abstract:
An apparatus for recognizing the location of a terminal based on a radio fingerprint map corrects a radio pattern received by a user terminal based on a difference in reception sensitivity between a reference terminal serving as a reference for the creation of a radio fingerprint map and the user terminal, and estimates the location of the user terminal by comparing the corrected radio pattern of the user terminal with the radio patterns in the radio fingerprint map.